Senior Data Migration Developer

Senior Data Migration Developer1 Key Responsibilities Migration Strategy & Architecture: Design and execute scalable, end-to-end data migration strategies across Sales Cloud, Service Cloud, PRM, ARM, custom objects, and Data Cloud for enterprise clients.

Agentforce & AI Data Readiness: Ensure legacy and transactional data is cleansed, standardized, and vectorized (RAG-ready) to support Agentforce Reasoning Engine, action triggers, and grounding context.

Data Extraction & ETL/ELT: Extract data from legacy databases (SQL Server, Oracle, PostgreSQL, Snowflake) and transform it to meet target Salesforce and Data Cloud schema standards.

Field & Relationship Mapping: Map complex source-to-target entity relationships (Master-Detail, Lookups, Junction Objects, Polymorphic fields) while preserving legacy record IDs and external IDs.

Unstructured Data Ingestion: Prepare unstructured data assets (PDFs, knowledge articles, case histories) for migration into Data Cloud to power Agentforce retrieval workflows.

High-Volume Execution & Automation: Leverage Salesforce APIs (Bulk API 2.0, REST/SOAP) and ETL/Zero-Copy tools to process millions of records without exceeding platform governor limits.

Validation, QA & Governance: Create automated verification checks to reconcile post-migration record counts, relationship trees, deduplication rules, and Salesforce Einstein/Agentforce Trust Layer compliance.

Required Technical Skills & Qualifications Salesforce Expertise (5+ yrs): Strong hands-on experience with core Salesforce architecture, data security model, governor limits, and data import/export utilities.

AI & Agentforce Data Concepts: Working understanding of Salesforce Agentforce , Atlas Reasoning Engine context grounding, RAG (Retrieval-Augmented Generation), vector databases, and how dirty data impacts AI agent decisions.

Data Tools Mastery: Advanced experience with Salesforce Data Loader , MuleSoft , Jitterbit , Talend , Informatica Cloud (IICS) , or Workbench .

Data Cloud & Data Lakehouses: Practical knowledge of Salesforce Data Cloud ingestion, Data Streams, Identity Resolution, and Zero-Copy architecture (e.g., Snowflake, BigQuery integrations).

SQL & SOQL: Advanced proficiency in writing complex SQL queries, stored procedures, joins, and SOQL/SOSL queries.

Scripting/Programming: Hands-on capability in Python, Shell scripting, or Apex for custom data transformation and pre-migration sanitization.

Preferred Experience & Certifications Certifications: Salesforce Certified Data Cloud Consultant (Required / Highly Preferred)

Salesforce Certified Administrator or Integration Architect

Salesforce Agentforce / AI Specialist Certification

Experience in complex Org-to-Org consolidations or migrating legacy knowledge bases to Salesforce for AI consumption.

Familiarity with Model Context Protocol (MCP) or external API integrations for AI agent actions.

Experience working in Agile/Scrum delivery environments.